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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- ai_light_dance
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model-index:
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- name: ai-light-dance_singing_ft_wav2vec2-large-lv60
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ai-light-dance_singing_ft_wav2vec2-large-lv60
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This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the ai_light_dance dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4717
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- Wer: 0.1835
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 0.7432 | 1.0 | 4422 | 0.8939 | 0.6323 |
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| 0.5484 | 2.0 | 8844 | 0.6393 | 0.3557 |
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| 0.3919 | 3.0 | 13266 | 0.5315 | 0.2833 |
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| 0.421 | 4.0 | 17688 | 0.5234 | 0.2522 |
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| 0.3957 | 5.0 | 22110 | 0.5125 | 0.2247 |
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| 0.3228 | 6.0 | 26532 | 0.4542 | 0.2088 |
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| 0.346 | 7.0 | 30954 | 0.4673 | 0.1997 |
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| 0.1637 | 8.0 | 35376 | 0.4583 | 0.1910 |
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| 0.1508 | 9.0 | 39798 | 0.4623 | 0.1837 |
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| 0.1564 | 10.0 | 44220 | 0.4717 | 0.1835 |
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### Framework versions
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- Transformers 4.20.0.dev0
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2.dev0
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- Tokenizers 0.12.1
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